Difference between revisions of "MSF2 The Portuguese/Spanish corpus of Multi-Sentence Fusion (Repository)"

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ref : manual compressions to be used for ROUGE/BLEU automatic evaluation; pos : tokenized and Part-Of-Speech tagged sentences (using TreeTagger Pos-tagger). For more information, please see the documentation file that is included in the package.
 
ref : manual compressions to be used for ROUGE/BLEU automatic evaluation; pos : tokenized and Part-Of-Speech tagged sentences (using TreeTagger Pos-tagger). For more information, please see the documentation file that is included in the package.
  
* '''Download''': The package for this item is: [http://aclweb.org/aclwiki/code/5/51/ADCR2020T001.tar.gz ADCR2020T001.tar.gz]. As extra supplemental material, the original source repository is at [https://dev.termwatch.es/~fresa/CORPUS/MSF2/corpus.html https://dev.termwatch.es/~fresa/CORPUS/MSF2/corpus.html].
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* '''Download''': The original source repository is at [https://dev.termwatch.es/~fresa/CORPUS/MSF2/corpus.html https://dev.termwatch.es/~fresa/CORPUS/MSF2/corpus.html].
  
  
 
[[Category:Data and code repository|Template for data]]
 
[[Category:Data and code repository|Template for data]]

Revision as of 04:57, 4 May 2020


  • ADCR ID: ADCR2020T001
  • Name of Dataset: MSF2 Corpus
  • Contributor: Juan-Manuel Torres ([1]), Université d'Avignàn, Mai 4, 2020.
  • Citation: If you use the MSF2 corpus in your research, please include the following citation in any resulting papers:
Elvys Linhares Pontes, Juan-Manuel Torres-Moreno, Stéphane Huet, Andréa Linhares. A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task. Proceedings of the 11th edition of the Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan.
  • Description: The MSF2 corpus consists of three directories : src : sentence clusters in raw and tokenized formats

ref : manual compressions to be used for ROUGE/BLEU automatic evaluation; pos : tokenized and Part-Of-Speech tagged sentences (using TreeTagger Pos-tagger). For more information, please see the documentation file that is included in the package.